LV


Casos brutos (1116 municípios)


# A tibble: 6 × 13
  year   mean    sd   var   min quant25 median quant75 quant90 quant95   max  zero zero.perc
  <chr> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>   <dbl>   <dbl>   <dbl> <dbl> <int>     <dbl>
1 2001   2.56  11.8  139.     0       0      0       1     4       7     173   645     0.578
2 2002   2.49  12.3  151.     0       0      0       1     4       8     214   702     0.629
3 2003   3.00  15.2  232.     0       0      0       1     4.5     9     303   654     0.586
4 2004   3.38  19.4  376.     0       0      0       1     5      12     464   692     0.620
5 2005   3.45  18.4  338.     0       0      0       1     5.5    12.2   412   662     0.593
6 2006   3.52  17.9  319.     0       0      0       1     5.5    12.2   302   661     0.592

Brasil (whole)


# A tibble: 5 × 13
   year  mean    sd   var   min quant25 median quant75   max  zero zero.perc  `NA`  NA.perc
  <int> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>   <dbl> <dbl> <int>     <dbl> <int>    <dbl>
1  2001 0.652  4.16  17.3     0       0      0    3.51  190.  5120     0.919     2 0.000359
2  2002 0.652  4.16  17.3     0       0      0    3.51  190.  5120     0.919     2 0.000359
3  2003 0.652  4.16  17.3     0       0      0    3.51  190.  5120     0.919     2 0.000359
4  2004 0.652  4.16  17.3     0       0      0    3.51  190.  5120     0.919     2 0.000359
5  2005 0.652  4.16  17.3     0       0      0    3.51  190.  5120     0.919     2 0.000359

LTA


Casos brutos (3212 municípios)


# A tibble: 6 × 13
  year   mean    sd   var   min quant25 median quant75 quant90 quant95   max  zero zero.perc
  <chr> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>   <dbl>   <dbl>   <dbl> <dbl> <int>     <dbl>
1 2001  10.6   45.0 2025.     0       0      1       6      23    50    1772  1289     0.401
2 2002   9.66  33.8 1141.     0       0      1       6      23    49.4  1144  1224     0.381
3 2003  10.1   46.9 2196.     0       0      1       6      24    49    2107  1294     0.403
4 2004   9.28  34.9 1215.     0       0      1       5      20    43    1023  1402     0.436
5 2005   8.62  29.5  869.     0       0      1       5      20    44.4   928  1271     0.396
6 2006   6.93  23.9  570.     0       0      1       4      16    34     720  1378     0.429

Brasil (whole)


# A tibble: 5 × 13
   year  mean    sd   var   min quant25 median quant75   max  zero zero.perc  `NA`  NA.perc
  <int> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>   <dbl> <dbl> <int>     <dbl> <int>    <dbl>
1  2001  14.2  49.4 2445.     0       0      0    79.0  984.  3893     0.699     2 0.000359
2  2002  14.2  49.4 2445.     0       0      0    79.0  984.  3893     0.699     2 0.000359
3  2003  14.2  49.4 2445.     0       0      0    79.0  984.  3893     0.699     2 0.000359
4  2004  14.2  49.4 2445.     0       0      0    79.0  984.  3893     0.699     2 0.000359
5  2005  14.2  49.4 2445.     0       0      0    79.0  984.  3893     0.699     2 0.000359

UR


# A tibble: 5 × 9
   year  mean    sd   var   min quant25 median quant75   max
  <int> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>   <dbl> <dbl>
1  2001  74.5  7.94  63.1  59.3    67.4   74.6    81.2  90.1
2  2002  74.5  7.67  58.9  59.0    67.7   74.4    81.1  90.0
3  2003  74.6  7.96  63.4  59.2    67.7   74.6    81.5  90.1
4  2004  74.6  7.79  60.7  58.8    67.8   74.6    81.3  89.6
5  2005  73.6  8.21  67.4  58.7    66.5   73.8    80.5  89.8

SDII


# A tibble: 5 × 9
   year  mean    sd   var   min quant25 median quant75   max
  <int> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>   <dbl> <dbl>
1  2001  4.65 0.855 0.730  2.4     4.18   4.59    5.03  8.72
2  2002  4.46 0.797 0.636  2.48    4.02   4.42    4.82  8.98
3  2003  4.64 0.787 0.619  2.45    4.22   4.57    4.99  9.08
4  2004  4.69 0.738 0.545  2.82    4.27   4.58    5.04  8.68
5  2005  4.62 0.823 0.677  2.6     4.12   4.47    5     9.48

TASMAX


# A tibble: 5 × 9
   year  mean    sd   var   min quant25 median quant75   max
  <int> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>   <dbl> <dbl>
1  2001  27.5  2.89  8.33  20.1    25.4   27.4    29.8  33.8
2  2002  27.5  2.98  8.89  20.2    25.1   27.4    29.9  33.9
3  2003  27.6  2.93  8.61  20.3    25.3   27.5    30.0  34.1
4  2004  27.5  3.06  9.37  19.8    25.2   27.4    29.8  33.9
5  2005  28.0  2.93  8.60  20.3    25.8   27.8    30.4  33.9

TASMIN


# A tibble: 5 × 9
   year  mean    sd   var   min quant25 median quant75   max
  <int> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>   <dbl> <dbl>
1  2001  17.7  2.97  8.85  10.9    15.2   17.8    20.2  25.4
2  2002  17.7  3.00  8.99  10.9    15.2   17.8    20.2  25.4
3  2003  17.9  2.93  8.61  11.2    15.4   18.0    20.3  25.4
4  2004  17.8  3.05  9.33  10.9    15.2   17.9    20.3  25.6
5  2005  17.9  2.96  8.78  11.1    15.5   18.1    20.4  25.6

PREC_MEAN


# A tibble: 5 × 9
   year  mean    sd   var   min quant25 median quant75   max
  <int> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>   <dbl> <dbl>
1  2001  4.42 0.914 0.836  1.99    3.93   4.27    4.86  8.72
2  2002  4.21 0.847 0.717  2.23    3.74   4.08    4.60  8.96
3  2003  4.40 0.854 0.729  2.16    3.90   4.26    4.81  8.98
4  2004  4.44 0.811 0.658  2.52    3.95   4.28    4.86  8.65
5  2005  4.37 0.889 0.790  2.34    3.84   4.17    4.83  9.40

PREC_SUM


# A tibble: 5 × 9
   year  mean    sd   var   min quant25 median quant75   max
  <int> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>   <dbl> <dbl>
1  2001  134.  27.7  770.  60.2    119.   129.    147.  264.
2  2002  128.  25.7  662.  67.2    113.   124.    139.  271.
3  2003  133.  25.9  673.  65.0    118.   129.    146.  272.
4  2004  135.  24.7  609.  77.0    120.   130.    148.  264.
5  2005  133.  27.0  727.  70.7    116.   126.    147.  285.

Modelagem


Referência


A análise estatística foi realizada no ambiente de computação estatística R (R Core Team, 2022). Os principais pacotes R utilizados foram o {dplyr} (Wickham et al., 2022), {tidyr} (Wickham & Girlich, 2022), {ggplot2} (Wickham, 2016), {patckwork} (Pedersen, 2020), {geobr} (Pereira & Gonçalves, 2022), {rlang} (Henry & Wickham, 2022), {purrr} (Henry & Wickham, 2020), e {psych} (Revelle, 2022).

R Core Team (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/

Wickham, H., François, R., Henry, L., Müller, K. (2022). dplyr: A Grammar of Data Manipulation. R package version 1.0.9. https://CRAN.R-project.org/package=dplyr

Wickham, H., Girlich, M. (2022). tidyr: Tidy Messy Data. R package version 1.2.0, https://CRAN.R-project.org/package=tidyr

Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York

Pedersen, T. L. (2020). patchwork: The Composer of Plots. R package version 1.1.1. https://CRAN.R-project.org/package=patchwork

Pereira, R. H. M., Gonçalves, C. N. (2022). geobr: Download Official Spatial Data Sets of Brazil. R package version 1.6.5999, <https://github.com/ipeaGIT/geobr

Henry, L., Wickham, H. (2022). rlang: Functions for Base Types and Core R and ‘Tidyverse’ Features. R package version 1.0.3, https://CRAN.R-project.org/package=rlang

Henry, L., Wickham, H. (2020). purrr: Functional Programming Tools. R package version 0.3.4, https://CRAN.R-project.org/package=purrr

Revelle, W. (2022). psych: Procedures for Personality and Psychological Research, Northwestern University, Evanston, Illinois, USA, R package version 2.2.3, https://CRAN.R-project.org/package=psych